GENERATIVE-AI-LEADER · Question #10
A financial institution uses generative AI (gen AI) to approve and reject loan applications, but gives no reasons for rejection. Customers are starting to file complaints. The company needs to…
The correct answer is B. Implement explainable gen AI policies. The core problem is the lack of reasons for rejection, leading to customer complaints. This falls under the domain of explainable AI (XAI). Implementing explainable gen AI policies or mechanisms would allow the institution to provide transparency into how the AI made its…
Question
A financial institution uses generative AI (gen AI) to approve and reject loan applications, but gives no reasons for rejection. Customers are starting to file complaints. The company needs to implement a solution to reduce the complaints. What should the company do?
Options
- ACollect a larger and more diverse dataset for the gen AI model.
- BImplement explainable gen AI policies.
- CFine-tune the gen AI model.
- DDevelop fairness assessments for the gen AI model.
How the community answered
(26 responses)- A12% (3)
- B77% (20)
- C8% (2)
- D4% (1)
Explanation
The core problem is the lack of reasons for rejection, leading to customer complaints. This falls under the domain of explainable AI (XAI). Implementing explainable gen AI policies or mechanisms would allow the institution to provide transparency into how the AI made its decision, addressing the customer complaints directly. While other options might improve the model, they don't directly solve the transparency issue.
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